International

International Session 02 - Define the Value of Radiation Therapy in the Era of Big Data - Challenges and Opportunities

10/21/2018
1:15 PM - 2:45 PM
Location: Room 007 C/D

Session Type: International
1.50 AMA PRA Category 1 Credits™
1.50 CAMPEP Credits
1.50 MDCB Credits

This session was proudly submitted as a joint session with Chinese Society for Radiation Oncology(CSTRO). Advances in high-throughput molecular biology and electronic health records (EHR), coupled with increasing computer capabilities have resulted in an increased interest in the use of big data in health care. Big data require collection and analysis of data at an unprecedented scale and represents a paradigm shift in health care, offering (1) the capacity to generate new knowledge more quickly than traditional scientific approaches; (2) unbiased collection and analysis of data; and (3) a holistic understanding of biology and pathophysiology. In radiation therapy, big data promises more personalized and precision medicine for patients with improved accuracy and earlier diagnosis, and therapy tailored to an individual's unique combination of genes, environmental risk, and precise disease phenotype. Big data has the potential to improve the quality, safety, and efficiency of clinical care, thereby enhancing clinical outcomes or improving population health outcomes.

However, the use of big data comes with significant challenges, especially for clinicians. Many feel uncomfortable handling multi-level, multi-modal, large p/large n data for the investigation of disease processes. Further, integrating discoveries into clinical practice requires that practitioners be able to translate research findings into specific actions. The goal of this course is to discuss the potentials and challenges in big data driven decision in the practice of radiation oncology.

Learning Objectives:

Presentations:

Zhongxing Liao, MD, FASTRO

MD Anderson Cancer Center

Disclosure:
Employment
MD Anderson Cancer Center: Professor: Employee

Leadership
ASTRO IES: Chair

Presentation(s):

Send Email for Zhongxing Liao

Weining Zhen, MD, FASTRO

University of Nebraska Medical Center College of Medicine

Disclosure:
Employment
The University of Nebraska Medical Center: Professor: Employee

Presentation(s):

Send Email for Weining Zhen


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